AI Technology Strategist & Implementation
Lead Type: Full-time Location: Remote/Hybrid (Eugene, OR area preferred)
Role Overview
Forward-deployed AI specialist responsible for identifying, evaluating, and implementing AI solutions that drive measurable business outcomes.
This role combines technology scouting, systems integration, and hands-on implementation to build operational leverage across multiple ventures.
You will own the complete lifecycle from technology discovery through deployment, acting as the technical extension of leadership.
Core Responsibilities
- Technology Intelligence & Evaluation (35%)
- Monitor AI landscape continuously for emerging tools, platforms, and capabilities
- Maintain pipeline of technologies at different maturity stages (experimental to mainstream)
- Run proof-of-concepts and pilot programs to test real-world applicability
- Develop standardized evaluation frameworks (cost, implementation complexity, ROI, integration requirements)
- Create business cases for promising technologies with clear migration costs and timelines
- Technical Implementation (35%)
- Build and deploy automation systems using Make/Zapier, Clay, Airtable, and API integrations
- Develop data pipelines, lead scoring algorithms, and intelligent routing workflows
- Create voice agents, chatbots, and customer-facing AI solutions
- Audit existing technology stacks across all ventures and document integration points
- Implement webhook integrations and manage technical workflows across platforms
- Strategic Operations (30%)
- Map new technologies to specific business use cases and pain points
- Build internal dashboards, reporting systems, and performance tracking tools
- Create implementation roadmaps and process documentation
- Work cross-functionally to identify automation opportunities and efficiency gaps
- Train teams on new tools and build internal AI literacy grounded in practical implementation
Required Technical Stack Proficiency
Core Platforms: Framer, Clay, Make/Zapier, Airtable, Notion, Asana
AI Tools: Claude API, ChatGPT, various AI automation platforms
Integration Skills: Webhooks, APIs, data pipeline creation, system architecture
Analytics: Dashboard creation, data visualization, performance tracking
Essential Skills & Attributes Technical Competencies
- 2+ years building with no-code/low-code automation platforms
- Proven ability to integrate multiple tools into seamless workflows
- Deep understanding of AI capabilities and limitations across different use cases
- Experience auditing technology stacks and identifying integration opportunities
- Comfortable with APIs, webhooks, and custom integrations
Strategic Thinking
- Connect technology capabilities directly to business outcomes
- Develop ROI-focused business cases with realistic implementation timelines
- Identify bottlenecks and implement systematic solutions
- Balance innovation with practical constraints (budget, time, existing systems)
- Product manager mindset focused on user experience and measurable results
Work Style Requirements
- Extreme ownership mentality: you own outcomes, not tasks
- High agency and bias toward action: you build to test, not theorize
- Comfortable with ambiguity and rapid iteration
- Works at startup pace while maintaining quality standards
- Self-directed learning: you stay current without being told
Research & Evaluation Skills
- Systematic approach to evaluating new technologies against existing infrastructure
- Can separate signal from noise in rapidly evolving AI landscape
- Creates clear documentation that others can use and maintain
- Conducts thorough pilots with measurable success criteria
- Makes data-driven recommendations with transparent reasoning
Success Metrics
Speed: Average time from technology discovery to implemented solution
Quality: System reliability, user adoption rates, measurable efficiency gains
Impact: Documented time/cost savings and revenue contribution from implementations
Learning: Internal capability building and team AI literacy improvements
Ideal Candidate Profile
- Experiments with new AI tools before they are mainstream
- Active on GitHub with proof-of-concepts
- Follows AI communities (Discord, Twitter, LinkedIn) actively
- Builds to see if things work, not just for clear ROI
- Thrives in fast-paced environments owning functions from strategy through execution
- Comfortable building technical solutions and explaining them to non-technical stakeholders
- Strong opinions on tool selection but adjusts when data supports
Background Indicators:
- Active in AI communities (Discord, Twitter, GitHub, LinkedIn)
- Multiple side projects using different AI APIs and platforms
- Self-taught on new frameworks and tools
- Comfortable discussing failed projects and lessons learned
- Prototype fast to test hypotheses
- Previous experience at high-growth startups or agencies preferred
You Are Not:
- Someone who waits for perfect requirements before starting
- Someone who needs extensive management or direction
- Someone afraid to recommend against hyped technologies when data does not support them
- Someone who builds without measuring outcomes